Optimal placement of PMUs with limited number of channels

► We propose the approach for optimal placement of PMUs. ► The availability of PMU channels is considered. ► Cellular genetic algorithm is employed as the optimization tool. ► Case studies confirm the quality and savings in the derived solutions. ► Taking into account PMU channel availability leads...

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Published inElectric power systems research Vol. 90; pp. 93 - 98
Main Authors MILJANIC, Z, DJUROVIC, I, VUJOSEVIC, I
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.09.2012
Elsevier
Subjects
Applied sciences
Cellular genetic algorithms (CGA)
Disturbances. Regulation. Protection
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Operation. Load control. Reliability
Phasor measurement units (PMU)
Power networks and lines
State estimation
State estimation
Cellular genetic algorithms (CGA)
Phasor measurement units (PMU)
Positioning
Parameter estimation
Phase measurement
Outage
Power system control
Optimization method
Power system stability
Optimal design
Phase detector
Genetic algorithm
Optimal solution
Contingency table
IEEE standards
Comparative study
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Abstract ► We propose the approach for optimal placement of PMUs. ► The availability of PMU channels is considered. ► Cellular genetic algorithm is employed as the optimization tool. ► Case studies confirm the quality and savings in the derived solutions. ► Taking into account PMU channel availability leads to decrease in the cost of the optimal solution. This paper proposes an approach for optimal placement of phasor measurement units (PMUs). It takes into account the availability of PMU measuring channels, and possible system contingencies like single measurement or branch outage. In order to solve the optimization problem, cellular genetic algorithm is applied. The proposed approach is demonstrated on an example, and comparative results are given for the IEEE standard test systems. According to the presented results, the proposed approach gives globally optimal solutions with additional savings with respect to available techniques.
AbstractList ► We propose the approach for optimal placement of PMUs. ► The availability of PMU channels is considered. ► Cellular genetic algorithm is employed as the optimization tool. ► Case studies confirm the quality and savings in the derived solutions. ► Taking into account PMU channel availability leads to decrease in the cost of the optimal solution. This paper proposes an approach for optimal placement of phasor measurement units (PMUs). It takes into account the availability of PMU measuring channels, and possible system contingencies like single measurement or branch outage. In order to solve the optimization problem, cellular genetic algorithm is applied. The proposed approach is demonstrated on an example, and comparative results are given for the IEEE standard test systems. According to the presented results, the proposed approach gives globally optimal solutions with additional savings with respect to available techniques.
Author Djurović, I.
Vujošević, I.
Miljanić, Z.
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Keywords State estimation
Cellular genetic algorithms (CGA)
Phasor measurement units (PMU)
Positioning
Parameter estimation
Phase measurement
Outage
Power system control
Optimization method
Power system stability
Optimal design
Phase detector
Genetic algorithm
Optimal solution
Contingency table
IEEE standards
Comparative study
Language English
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Snippet ► We propose the approach for optimal placement of PMUs. ► The availability of PMU channels is considered. ► Cellular genetic algorithm is employed as the...
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SubjectTerms Applied sciences
Cellular genetic algorithms (CGA)
Disturbances. Regulation. Protection
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Operation. Load control. Reliability
Phasor measurement units (PMU)
Power networks and lines
State estimation
Title Optimal placement of PMUs with limited number of channels
URI https://dx.doi.org/10.1016/j.epsr.2012.04.010
Volume 90
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